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Epidemiology of hospital-onset versus community-onset sepsis in U.S. hospitals and association with mortality: a retrospective analysis using electronic clinical data.
Open accessAbstract
Objectives: Prior studies have reported that hospital-onset sepsis is associated with higher mortality rates than community-onset sepsis. Most studies, however, have used inconsistent case-finding methods and applied limited risk-adjustment for potential confounders. We used consistent sepsis criteria and detailed electronic clinical data to elucidate the epidemiology and mortality associated with hospital-onset sepsis. Design: Retrospective cohort study. Setting: 136 U.S. hospitals in the Cerner HealthFacts dataset. Patients: Adults hospitalized in 2009–2015. Interventions: None. Measurements and Main Results: We identified sepsis using Centers for Disease Control and Prevention Adult Sepsis Event criteria and estimated the risk of in-hospital death for hospital-onset sepsis versus community-onset sepsis using logistic regression models. In patients admitted without community-onset sepsis, we estimated risk of death associated with hospital-onset sepsis using Cox regression models with sepsis as a time-varying covariate. Models were adjusted for baseline characteristics and severity of illness. Among 2.2 million hospitalizations, there were 95,154 sepsis cases: 83,620 (87.9%) community-onset sepsis and 11,534 (12.1%) hospital-onset sepsis (0.5% of hospitalized cohort). Compared to community-onset sepsis, hospital-onset sepsis patients were younger (median 66 vs 68 yr) but had more comorbidities (median Elixhauser score 14 vs 11), higher Sequential Organ Failure Assessment scores (median 4 vs 3), higher ICU admission rates (61% vs 44%), longer hospital length of stay (median 19 vs 8 d), and higher in-hospital mortality (33% vs 17%) ( p < 0.001 for all comparisons). On multivariate analysis, hospital-onset sepsis was associated with higher mortality versus community-onset sepsis (odds ratio, 2.1; 95% CI, 2.0–2.2) and patients admitted without sepsis (hazard ratio, 3.0; 95% CI, 2.9–3.2). Conclusions: Hospital-onset sepsis complicated one in 200 hospitalizations and accounted for one in eight sepsis cases, with one in three patients dying in-hospital. Hospital-onset sepsis preferentially afflicted ill patients but even after risk-adjustment, they were twice as likely to die as community-onset sepsis patients; in patients admitted without sepsis, hospital-onset sepsis tripled the risk of death. Hospital-onset sepsis is an important target for surveillance, prevention, and quality improvement initiatives.
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“prior research suggesting that hospital-onset sepsis is more clinically complex and harder to predict than community-acquired sepsis.23,24”
From Multicenter Prospective Validation of an Updated Proprietary Sepsis Prediction Model (2026) · cites this paper as [23]
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Vincent, J. L., Moreno, R., Takala, J., Willatts, S., De Mendonça, A., Bruining, H., Reinhart, C. K., Suter, P. M., & Thijs, L. G. (1996) · Intensive Care Medicine · doi:10.1007/bf01709751 · Cited by 11,674
Early goal-directed therapy in the treatment of severe sepsis and septic shock
Rivers, E., Nguyen, B., Havstad, S., Ressler, J., Muzzin, A., Knoblich, B., Peterson, E., & Tomlanovich, M. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010307 · Cited by 10,743
A randomized trial of protocol-based care for early septic shock.
The ProCESS Investigators (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1401602 · Cited by 2,414
Time to treatment and mortality during mandated emergency care for sepsis.
Seymour, C. W., Gesten, F., Prescott, H. C., Friedrich, M. E., Iwashyna, T. J., Phillips, G. S., Lemeshow, S., Osborn, T., Terry, K. M., & Levy, M. M. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1703058 · Cited by 2,225
Goal-Directed Resuscitation for Patients with Early Septic Shock
The ARISE Investigators and the ANZICS Clinical Trials Group (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1404380 · Cited by 2,055
Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009-2014.
Rhee, C., Dantes, R., Epstein, L., Murphy, D. J., Seymour, C. W., Iwashyna, T. J., Kadri, S. S., Angus, D. C., Danner, R. L., Fiore, A. E., et al. (2017) · JAMA · doi:10.1001/jama.2017.13836 · Cited by 1,884
Self-citationMoore, B. J., White, S., Washington, R., Coenen, N., & Elixhauser, A. (2017) · Medical Care · doi:10.1097/mlr.0000000000000735 · Cited by 844
Paoli, C. J., Reynolds, M. A., Sinha, M., Gitlin, M., & Crouser, E. (2018) · Critical Care Medicine · doi:10.1097/ccm.0000000000003342 · Cited by 664
Kadri, S. S., Adjemian, J., Lai, Y. L., Spaulding, A. B., Ricotta, E., Prevots, D. R., Palmore, T. N., Rhee, C., Klompas, M., Dekker, J. P., et al. (2018) · Clinical Infectious Diseases · doi:10.1093/cid/ciy378 · Cited by 617
Self-citationRhee, C., Jones, T. M., Hamad, Y., Pande, A., Varon, J., O’Brien, C. L., Anderson, D. J., Warren, D. K., Dantes, R., Epstein, L. H., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.7571 · Cited by 580
Self-citationvan Vught, L. A., Klouwenberg, P. M. C. K., Spitoni, C., Scicluna, B. P., Wiewel, M. A., Horn, J., Schultz, M. J., Nürnberg, P., Bonten, M. J. M., Cremer, O. L., et al. (2016) · JAMA · doi:10.1001/jama.2016.2691 · Cited by 527
Tabah, A., Koulenti, D., Laupland, K. B., Misset, B., Vallés, J., de Carvalho, F. B., Paiva, J. A., Çakar, N., Ma, X., Eggimann, P., et al. (2012) · Intensive Care Medicine · doi:10.1007/s00134-012-2695-9 · Cited by 443
Serum Potassium Levels and Mortality in Acute Myocardial Infarction
Goyal, A., Spertus, J. A., GOSCH, K. L., Venkitachalam, L., Jones, P. G., den Berghe, G. V., & Kosiborod, M. (2012) · JAMA · doi:10.1001/jama.2011.1967 · Cited by 376
Williams, M. D., Braun, L. A., Cooper, L. M., Johnston, J. A., Weiss, R. V., Qualy, R. L., & Linde‐Zwirble, W. T. (2004) · Critical Care · doi:10.1186/cc2893 · Cited by 366
Iwashyna, T. J., Odden, A., Rohde, J., Bonham, C., Kuhn, L., Malani, P., Chen, L., & Flanders, S. (2014) · Medical Care · doi:10.1097/mlr.0b013e318268ac86 · Cited by 358
Lundberg, J. S., Perl, T. M., Wiblin, R. T., Costigan, M., Dawson, J. D., Nettleman, M. D., & Wenzel, R. P. (1998) · Critical Care Medicine · doi:10.1097/00003246-199806000-00019 · Cited by 218
Validity of administrative data in recording sepsis: a systematic review
Jolley, R., Sawka, K. J., Yergens, D., Quan, H., Jetté, N., & Doig, C. J. (2015) · Critical Care · doi:10.1186/s13054-015-0847-3 · Cited by 196
Page, D. B., Donnelly, J. P., & Wang, H. E. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001164 · Cited by 157
Rhee, C., Filbin, M. R., Massaro, A. F., Bulger, A. L., McEachern, D., Tobin, K. A., Kitch, B. T., Thurlo-Walsh, B., Kadar, A. Y., Koffman, A., et al. (2018) · Critical Care Medicine · doi:10.1097/ccm.0000000000003261 · Cited by 135
Self-citationRhee, C., Zhang, Z., Kadri, S. S., Murphy, D. J., Martin, G. S., Overton, E., Seymour, C. W., Angus, D. C., Dantes, R., Epstein, L., et al. (2019) · Critical Care Medicine · doi:10.1097/ccm.0000000000003521 · Cited by 128
Self-citationLagu, T. C., Pekow, P. S., Shieh, M., Stefan, M. S., Pack, Q. R., Kashef, M. A., Atreya, A. R., Valania, G. E., Slawsky, M., & Lindenauer, P. K. (2016) · Circulation Heart Failure · doi:10.1161/circheartfailure.115.002912 · Cited by 95
Rhee, C., Jentzsch, M. S., Kadri, S. S., Seymour, C. W., Angus, D. C., Murphy, D. J., Martin, G. S., Dantes, R. B., Epstein, L., Fiore, A. E., et al. (2019) · Critical Care Medicine · doi:10.1097/ccm.0000000000003554 · Cited by 85
Self-citationMeddings, J. A., Saint, S. K., & McMahon, L. F. (2010) · Infection Control and Hospital Epidemiology · doi:10.1086/652523 · Cited by 81
The Accuracy of Present‐on‐Admission Reporting in Administrative Data
Goldman, L., Chu, P., Osmond, D. H., & Bindman, A. B. (2011) · Health Services Research · doi:10.1111/j.1475-6773.2011.01300.x · Cited by 81
Koch, A. M., Nilsen, R. M., Eriksen, H. M., Cox, R. J., & Harthug, S. (2015) · Antimicrobial Resistance and Infection Control · doi:10.1186/s13756-015-0097-9 · Cited by 74
Effect of Nonpayment for Hospital-Acquired, Catheter-Associated Urinary Tract Infection
Meddings, J. A., Reichert, H., Rogers, M. A. M., Saint, S. K., Stephansky, J., & McMahon, L. F. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-5-201209040-00003 · Cited by 70
Choudhry, S. A., Li, J., Davis, D. A., Erdmann, C., Sikka, R., & Sutariya, B. B. (2013) · Online Journal of Public Health Informatics · doi:10.5210/ojphi.v5i2.4726 · Cited by 70
Jones, S. L., Ashton, C. M., Kiehne, L., Nicolas, J. C., Rose, A. L., Shirkey, B. A., Masud, F. N., & Wray, N. P. (2016) · Medical Care · doi:10.1097/mlr.0000000000000481 · Cited by 69
Rhee, C., Dantes, R., Epstein, L. H., & Klompas, M. (2018) · BMJ Quality & Safety · doi:10.1136/bmjqs-2018-008331 · Cited by 67
Self-citationVenkatesh, A. K., Slesinger, T., Whittle, J., Osborn, T., Aaronson, E., Rothenberg, C., Tarrant, N., Goyal, P., Yealy, D. M., & Schuur, J. D. (2018) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2017.06.032 · Cited by 58
Rhee, C., Brown, S. R., Jones, T. M., O’Brien, C., Pande, A., Hamad, Y., Bulger, A. L., Tobin, K. A., Massaro, A. F., Anderson, D. J., et al. (2018) · Infection Control & Hospital Epidemiology · doi:10.1017/ice.2018.134 · Cited by 51
Self-citationFabbro-Péray, P., Sotto, A., Defez, C., Cazaban, M., Molinari, L., Pinede, M., Mahamat, A., & Daurès, J. (2007) · Infection Control and Hospital Epidemiology · doi:10.1086/512626 · Cited by 50
Han, X., Edelson, D. P., Snyder, A. M., Pettit, N. N., Sokol, S. S., Barc, C., Howell, M. D., & Churpek, M. M. (2018) · CHEST Journal · doi:10.1016/j.chest.2018.03.025 · Cited by 47
Schorr, C., Odden, A., Evans, L., Escobar, G. J., Gandhi, S., Townsend, S., & Levy, M. (2016) · Journal of Hospital Medicine · doi:10.1002/jhm.2656 · Cited by 47
Lactate Testing in Suspected Sepsis
Rhee, C., Murphy, M. V., Li, L., Platt, R. G., & Klompas, M. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001087 · Cited by 41
Self-citationTemporal trends of esophageal disorders by age in the Cerner Health Facts database
Petrick, J. L., Nguyen, T. A. T., & Cook, M. B. (2015) · Annals of Epidemiology · doi:10.1016/j.annepidem.2015.11.004 · Cited by 32
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Metadata
- Authors
- Rhee, C., Wang, R., Zhang, Z., Fram, D., Kadri, S. S., & Klompas, M.
- Affiliations
- Brigham and Women's Hospital (US)
- Harvard University (US)
- National Institutes of Health (US)
- Venue
- Critical Care Medicine
- Published
- 2019-09
- Volume
- 47
- Issue
- 9
- Pages
- 1169-1176
- ISSN
- 0090-3493 (ISSN-L)
- PMC
- PMC6697188
- OpenAlex
- W2944935359
- Cited by
- 122
- References
- 37
- Citations by year
- 2026: 17 · 2025: 17 · 2024: 18 · 2023: 18 · 2022: 21 · 2021: 18 · 2020: 11 · 2019: 2
- FWCI
- 9.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Critical Care Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Centers for Disease Control and Prevention (U54CK000484)
- Agency for Healthcare Research and Quality (K08HS025008)
- Topics
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Sepsis Diagnosis and Treatment
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Health Sciences › Medicine › Critical Care and Intensive Care Medicine › Nosocomial Infections in ICU
- Keywords
- community-onset sepsis, sepsis mortality, in-hospital mortality, sepsis epidemiology, hospitalized patients, sepsis risk factors, comorbidities, intensive care unit admission, length of hospital stay, risk adjustment, hospital quality of care, sepsis prevention
- MeSH terms
- Adult, Aged, Aged, 80 and over, Cross Infection, Female, Humans, Intensive Care Units, Length of Stay, Male, Middle Aged, Retrospective Studies, Severity of Illness Index, United States, Comorbidity, Logistic Models, Proportional Hazards Models, Hospital Mortality, Age Distribution, Community-Acquired Infections, Sepsis, Organ Dysfunction Scores
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